ML OPS

3 days ago

Noida, Uttar Pradesh, India Iris Software Full time

  • 5+ years of experienceinML Opsengineering or a related field.

  • Strong proficiency inPython, with experience inmachine learning librariessuch asTensorFlow,PyTorch,scikit-learn, etc.

  • Extensive experience withML Ops frameworkslikeKubeflow,MLflow,TensorFlow Extended (TFX),KubeFlow Pipelines, or similar.
  • Strong experience in deploying and managing machine learning models incloud environments(AWS, GCP, Azure).
  • Proficiency in managingCI/CD pipelinesfor ML workflows using tools such asJenkins,GitLab,CircleCI, etc.
  • Hands-on experience withcontainerization(Docker) andorchestration(Kubernetes) technologies for model deployment.
  • Skills : SageMaker, PySpark, AWS Services ; Nice to have: MLOps

*Mandatory Competencies*

Data Science and Machine Learning - Data Science and Machine Learning - AI/ML

Data Science and Machine Learning - Data Science and Machine Learning - Python

Data Science and Machine Learning - Data Science and Machine Learning - Pytorch

Beh - Communication

Development Tools and Management - Development Tools and Management - CI/CD

DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)

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